Author: Danuta Zakrzewska Publisher: Springer Science & Business Media ISBN: 3642021956 Category : Computers Languages : en Pages : 253
Book Description
The overwhelming pace of evolution in technology has made it possible to develop intelligent systems which help users in their dayly life activities. - cordingly, methods of recording, managing and analysing data have evolved from the very simple ?le systems into complex ambient supportive intelligent systems. This book arises as a compilation of methods, techniques and tools c- nected with data related issues: from modelling to analysis. A broad range of approaches such as database self-* techniques for ubiquitous environments, multimedia data, or data driven models will be reviewed. Di?erent areas of applications, in which data models conceptualize nowadays reality, starting from e-learning to electric transformers will be considered. The book is a collection of representative contributions to cover the sp- trum related to data bases, which support decision making and data mining methods as well as conceptualization. Datawarehouse technology and m- eling are presented in the ?rst chapter together with the deep review of datawarehouse techniques for supporting e-learning processes with special emphasis on data cubes, all the tools are considered in the context of imp- mentationofsoftwareapplication.Thesecondchaptercontinueswiththes- ilar technology and deals with the community data warehouse architecture.
Author: Mashrur Chowdhury Publisher: Elsevier ISBN: 0443138796 Category : Computers Languages : en Pages : 572
Book Description
Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. It presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies. All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. They will discover how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Data Analytics for Intelligent Transportation Systems will prepare an educated ITS workforce and tool builders to make the vision for safe, reliable, and environmentally sustainable intelligent transportation systems a reality. It serves as a primary or supplemental textbook for upper-level undergraduate and graduate ITS courses and a valuable reference for ITS practitioners. - Utilizes real ITS examples to facilitate a quicker grasp of materials presented - Contains contributors from both leading academic and commercial domains - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications - Includes exercise problems in each chapter to help readers apply and master the learned fundamentals, concepts, and techniques - New to the second edition: Two new chapters on Quantum Computing in Data Analytics and Society and Environment in ITS Data Analytics
Author: Shen Liu Publisher: Academic Press ISBN: 0081006519 Category : Mathematics Languages : en Pages : 208
Book Description
Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours, providing applications and case studies for the purpose of demonstration. Computational and Statistical Methods for Analysing Big Data with Applications starts with an overview of the era of big data. It then goes onto explain the computational and statistical methods which have been commonly applied in the big data revolution. For each of these methods, an example is provided as a guide to its application. Five case studies are presented next, focusing on computer vision with massive training data, spatial data analysis, advanced experimental design methods for big data, big data in clinical medicine, and analysing data collected from mobile devices, respectively. The book concludes with some final thoughts and suggested areas for future research in big data. - Advanced computational and statistical methodologies for analysing big data are developed - Experimental design methodologies are described and implemented to make the analysis of big data more computationally tractable - Case studies are discussed to demonstrate the implementation of the developed methods - Five high-impact areas of application are studied: computer vision, geosciences, commerce, healthcare and transportation - Computing code/programs are provided where appropriate
Author: Gábor Békés Publisher: Cambridge University Press ISBN: 1108483011 Category : Business & Economics Languages : en Pages : 741
Book Description
A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
Author: Khosrow-Pour, Mehdi Publisher: IGI Global ISBN: 1466658894 Category : Computers Languages : en Pages : 7972
Book Description
"This 10-volume compilation of authoritative, research-based articles contributed by thousands of researchers and experts from all over the world emphasized modern issues and the presentation of potential opportunities, prospective solutions, and future directions in the field of information science and technology"--Provided by publisher.
Author: Patil, Bhushan Publisher: IGI Global ISBN: 1799830543 Category : Computers Languages : en Pages : 583
Book Description
Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies, and systems used to extract information from data and solve complex problems, various sectors have reached new heights and have changed our world for the better. The Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics is a collection of innovative research on the methods and applications of data analytics. While highlighting topics including artificial intelligence, data security, and information systems, this book is ideally designed for researchers, data analysts, data scientists, healthcare administrators, executives, managers, engineers, IT consultants, academicians, and students interested in the potential of data application technologies.
Author: JingTao Yao Publisher: Springer ISBN: 3642244254 Category : Computers Languages : en Pages : 788
Book Description
This book constitutes the refereed proceedings of the 6th International Conference on Rough Sets and Knowledge Technology, RSKT 2011, held in Banff, Canada, in September 2011. The 89 revised full papers presented together with 3 keynote lectures and 1 invited tutorial session were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on attribute reduction and feature selection, generalized rough set models, machine learning with rough and hybrid techniques, knowledge technology and intelligent systems and applications.
Author: Ruth V. Small Ph.D. Publisher: Bloomsbury Publishing USA ISBN: Category : Language Arts & Disciplines Languages : en Pages : 311
Book Description
Using an innovative, real-world approach that makes the research problem and method relevant and valuable to the reader, this book provides a broad overview of research methods used in library and information studies and associated fields. Research remains a core purpose of every library. This book provides a text for LIS students and a practical handbook to librarians and other educators who need to conduct research in their libraries. In Research Methods for Librarians and Educators, contributors reinforce the essential nature of research and provide readers with the confidence that they can conduct research to find solutions to various problems and improve their libraries and library programs. The book details various research methodologies and uses a unique perspective on research that presents authentic scenarios to immediately make the research problem and method relevant and valuable to the reader. It covers topics ranging from various research methods, including Causal, Collaborative, Design-Based Research, Longitudinal, and Mixed Methods, as well as interview methods, learning assessment, literature review, and observation and survey methods. Each chapter includes questions intended to spark discussion and deeper reflection that make the book more useful in learning settings. The summary charts throughout provide a handy and easy reference for readers who want a quick refresher on the research method without rereading the entire chapter.
Author: Danuta Zakrzewska
Author: Mashrur Chowdhury
Author: Shen Liu
Author: Gábor Békés
Author: 
Author: Khosrow-Pour, Mehdi
Author: Patil, Bhushan
Author: JingTao Yao
Author: Ruth V. Small Ph.D.
Author: Panagiota Digkoglou